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Impact of the 2022 OSTP memo: A bibliometric analysis of US federally funded publications, 2017–2021
Publisher: Journals Gateway
Quantitative Science Studies (2023) 4 (1): 1–21.
Published: 01 March 2023
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On August 25, 2022, the White House Office of Science and Technology Policy (OSTP) released a memo regarding public access to scientific research. Signed by Director Alondra Nelson, this updated guidance eliminated the 12-month embargo period on publications arising from U.S. federal funding that had been allowed from a previous 2013 OSTP memo. Although reactions to this updated federal guidance have been plentiful, to date there has not been a detailed analysis of the publications that would fall under this new framework. The OSTP released a companion report along with the memo, but it only provided a broad estimate of total numbers affected per year. Therefore, this study seeks to more deeply investigate the characteristics of U.S. federally funded research over a 5-year period from 2017–2021 to better understand the updated guidance’s impact. It uses a manually created custom filter in the Dimensions database to return only publications that arise from U.S. federal funding. Results show that an average of 265,000 articles were published each year that acknowledge US federal funding agencies, and these research outputs are further examined by publisher, journal title, institutions, and Open Access status. Interactive versions of the graphs are available at https://ostp.lib.iastate.edu/ .
Includes: Supplementary data
Journal Articles
Publisher: Journals Gateway
Quantitative Science Studies (2022) 3 (3): 600–623.
Published: 01 November 2022
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This article introduces Unsub Extender , a free tool to help libraries analyze their Unsub data export files. Unsub is a collection development dashboard that gathers and forecasts journal-level usage metrics to provide academic libraries with deeper measurements than traditional cost per use. Unsub gives libraries richer and more nuanced data to analyze their subscriptions, but it does not include a way to easily visualize the complex and interrelated data points it provides. Unsub Extender ( https://unsubextender.lib.iastate.edu ) is a free Python-based web application that takes an Unsub export file and automates the creation of interactive plots and visualizations. The tool loads with example data to explore, and users upload their specific Unsub file to quickly populate the premade plots with actual data. Graphs are interactive and live updating and support zoom, click-and-drag, and hover. Filters are specified through sliders to model scenarios and focus on areas of interest. A drop-down menu allows users to change a journal’s decision status, and graphs update automatically. After evaluating journals, users can export the modified data set to save their decisions. Unsub Extender proposes best practice in analyzing the increasingly common Unsub export file. It simplifies the analysis, eliminates duplication of effort, and enables libraries worldwide to make better, more data-driven decisions.